The Probability Distribution Function of Gas Surface Density in M33
Edvige Corbelli, Bruce G. Elmegreen, Jonathan Braine, David Thilker

TL;DR
This study analyzes the gas surface density PDFs in M33, revealing log-normal distributions shaped by turbulence and self-gravity, with power-law deviations indicating dense, self-gravitating molecular cloud structures.
Contribution
It provides the first detailed analysis of gas surface density PDFs in M33 at 50 pc resolution, linking PDF shapes to turbulence, star formation, and self-gravity effects.
Findings
Gas PDFs are mostly log-normal, with widths decreasing outward.
Power-law tails in molecular gas PDFs indicate self-gravity in dense regions.
Molecular cloud density stratification is consistent with self-gravity dominance.
Abstract
The probability distribution functions (PDFs) for atomic, molecular, and total gas surface densities of M33 are determined at a resolution of about 50~pc over regions that share coherent morphological properties to unveil fingerprints of self-gravity across the star-forming disk. Most of the total gas PDFs from the central region to the edge of the star-forming disk are well-fitted by log-normal functions whose width decreases radially outwards. Because the HI velocity dispersion is approximately constant across the disk, the decrease of the PDF width is consistent with a lower Mach number for the turbulent ISM at large galactocentric radii where a higher fraction of HI is in the warm phase. The atomic gas is found mostly at face-on column densities below N=2.5 10~cm, with small radial variations of N. The molecular gas PDFs do not show strong…
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